Evidence map›Paper›PMID 33858426›Full record

ArticleCancer cell international2021

MicroRNA-665 facilitates cell proliferation and represses apoptosis through modulating Wnt5a/β-Catenin and Caspase-3 signaling pathways by targeting TRIM8 in LUSC.

Tian-Jun Chen, Qi Zheng, Fei Gao, Tian Yang, Hui Ren, Yang Li, Ming-Wei Chen

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Tian-Jun Chen *Respiratory Department, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Qi Zheng *First Department of Medical Oncology, Affiliated Shaanxi Provincial Cancer Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Fei GaoHua-Shan Central Hospital of Xi'an, Xi'an, 710043, People's Republic of China.
Tian YangRespiratory Department, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Hui RenRespiratory Department, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Yang LiRespiratory Department, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Ming-Wei ChenRespiratory Department, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China. xjtucmw@163.com.ORCID http://orcid.org/0000-0001-7756-1138
First Affiliated Hospital of Xi'an Jiaotong University · CNShaanxi Provincial People's Hospital · CNXian Central Hospital · CN

Funding

Scientific and Technological Research Project of Shaanxi Province 2015KW-038Scientific and Technological Research Project of Shaanxi Province 2019KW-037Shaanxi Province Natural Science Foundation 2017JM4358
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are involved in the oncogenesis, development and transformation of lung squamous cell carcinoma (LUSC). miR-665 is clinically significant and acts as a pivotal function in some cancers. Nevertheless, the effects and the potential mechanisms of miR-665 in human LUSC are still unknown.

methodsTo analyse the clinical significant of miR-665 in human LUSC, quantitative real-time PCR (qRT-PCR) was use to measure miR-665 expression in LUSC specimen tissues and cell lines. Tripartite motif 8 (TRIM8) was verified a target of miR-665 by performing bioinformatic prediction and luciferase reporter assay. The expression levels of TRIM8 were examined through qRT-PCR and Western blotting in LUSC specimen tissues. CCK8 assay was fulfilled for analyzing the function in LUSC cell proliferation. Flow cytometry was used to detect cell and apoptosis. TRIM8 silencing and overexpression further verified the biological effects as those caused by miR-665.

resultsHere we reported that miR-665 expression was upregulated in LUSC specimen tissues and cell lines. High miR-665 levels were related to differentiation, tumor size and TNM stage. miR-665 mimics facilitated LUSC cell growth and cell cycle G1-S transition and repressed apoptosis. miR-665 inhibitor suppressed cell proliferation and G1-S transition and promoted apoptosis. miR-665 expression was negatively correlated with TRIM8 mRNA expression in LUSC. Luciferase reporter assay confirmed that TRIM8 was a direct target gene of miR-665. miR-665 mimics downregulated the TRIM8 levels, and miR-665 inhibitor upregulated the TRIM8 levels in LUSC cells. Particularly, silencing TRIM8 led to the similar effects of miR-665 mimics in LUSC cells. Overexpression of TRIM8 inhibited LUSC cell proliferation in vitro and in vivo. Furthermore, miR-665 promoted LUSC cell proliferation through facilitating the Wnt5a/β-catenin signaling pathway and restrained apoptosis via inhibiting Caspase-3 signaling pathway, whereas TRIM8 suppressed cell growth by repressing the Wnt5a/β-catenin signaling pathway and induced apoptosis through activating Caspase-3 signaling pathway.

conclusionsThe current study demonstrates that miR-665 facilitates LUSC cell proliferation and cell cycle transition by regulation of the Wnt5a/β-Catenin signaling pathway and represses cell apoptosis via modulation of Caspase-3 signaling pathway by directly targeting TRIM8. These findings suggest that miR-665 might be a potential new target for LUSC therapy.

Indexed as

ApoptosisLung squamous cell carcinomaMiR-665ProliferationTRIM8

Identifiers

PMID33858426
PMCPMC8051054
OpenAlexW3154844602

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.